Mesobot: An Autonomous Underwater Vehicle for Tracking and Sampling Midwater Targets

Autor: Peter H. Wiebe, Kakani Katija, Justin Fujii, Joel K. Llopiz, M. Risi, Daniel Gomez-Ibanez, Bruce H. Robison, John A. Breier, Christopher R. German, Cailean J. Wilkinson, Molly Curran, Stephen M. Rock, Brett Hobson, Dana R. Yoerger, Jonathan C. Howland, Annette F. Govindarajan
Rok vydání: 2018
Předmět:
Zdroj: 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV).
Popis: Mesobot, a new class of autonomous underwater vehicle, will address specific unmet needs for observing slow-moving targets in the midwater ocean. Mesobot will track targets such as zooplankton, fish, and descending particle aggregates using a control system based on stereo cameras and a combination of thrusters and a variable buoyancy system. The vehicle will also be able to collect biogeochemical and environmental DNA (eDNA) samples using a pumped filter sampler.
Databáze: OpenAIRE